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Excellent technical and methodological skills in the areas of separation and analysis techniques (including enantiomeric purity analysis) and high-resolution mass spectrometry Experience in independently
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for Spatial Studies). This hub should act as a central geospatial competence center to provide targeted support for research projects to bring spatial thinking, (novel) spatial analysis, and spatial
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has a strong interest in Mathematical Analysis with special backround in Partial Differential Equations and Dynamical Systems, can easily integrate into our team, independently contribute to current
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, and related fields. We are interested in providing computational methods to improve the representation, retrieval, integration, analysis, visualization, and communication of spatial and spatiotemporal
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foreign language • Strong theoretical and methodological awareness • Advanced IT skills and, ideally, experience with databases and digital analysis tools • Organisational skills and willingness
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intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The research areas cover a wide range of challenging topics such as (infinte dimensional) stochastic analysis, affine and
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to complete your dissertation agreement within 12-18 months. Your Profile: - Graduate degree in Geography (major in Physical Geography, Natural Hazards and Risk Analysis, Process Geomorphology
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and mass spectrometry to investigate small-molecule metabolites with exceptional precision. The candidate's project will focus on analytical metabolomics for (sub)cellular analysis. The method-oriented
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) and clouds You will develop novel methods and analysis tools for in-situ aerosol and cloud data using state-of-the-art techniques (e.g., image processing, machine learning) A significant fraction of the
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://iventajobdata.eu/bestmedia/img/2120420/1839365/cl/1a0b0a04e6308f15cbda2… Requirements Specific Requirements Your personal sphere of influence: As a PhD candidate, you will assist in the analysis of ancient